2023

Zhang, Ying, Akyildiz, Ömer Deniz, Damoulas, Theodoros and Sabanis, Sotirios (2023) Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization. Applied Mathematics and Optimization, 87 . 25. doi:10.1007/s00245-022-09932-6 (In Press)

Zennaro, Fabio Massimo, Drávucz, Máté, Apachitei, Geanina, Widanage, W. Dhammika and Damoulas, Theodoros (2023) Jointly learning consistent causal abstractions over multiple interventional distributions. In: CLeaR (Causal Learning and Reasoning) 2023, Tübingen, Germany, 11-14 Apr 2023. Published in: Proceedings of CLeaR (Causal Learning and Reasoning) 2023 (In Press)

2022

Jaskari, Joel, Sahlsten, Jaakko, Damoulas, Theodoros, Knoblauch, Jeremias, Sarkka, Simo, Karkkainen, Leo, Hietala, Kustaa and Kaski, Kimmo K. (2022) Uncertainty-aware deep learning methods for robust diabetic retinopathy classification. IEEE Access, 10 . pp. 76669-76681. doi:10.1109/ACCESS.2022.3192024 ISSN 2169-3536.

Knoblauch, Jeremias, Jewson, Jack E. and Damoulas, Theodoros (2022) An optimization-centric view on Bayes’ rule : reviewing and generalizing variational inference. Journal of Machine Learning Research, 23 (123). pp. 1-109. ISSN 1532-4435.

Walsh, J., Kesa, Oluwafunmilola, Wang, A., Ilas, M., O'Hara, P., Giles, O., Dhir, N., Girolami, M. and Damoulas, Theodoros (2022) Near real-time social distancing in London. The Computer Journal . ISSN 0010-4620. (In Press)

Dellaporta, Charita, Knoblauch, Jeremias, Damoulas, Theodoros and Briol, François-Xavier (2022) Robust Bayesian inference for simulator-based models via the MMD posterior bootstrap. In: 25th International Conference in Artificial Intelligence and Statistics (AISTATS), Virtual, 28-30 Mar 2022. Published in: Proceedings of Machine Learning Research, 151 ISSN 2640-3498. (In Press)

Zennaro, Fabio Massimo, Turrini, Paolo and Damoulas, Theodoros (2022) Towards computing an optimal abstraction for structural causal models. In: UAI 2022 Workshop on Causal Representation Learning, Eindhoven, Netherlands, 5 Aug 2022

2021

Armstrong, David J., Gamper, Jevgenij and Damoulas, Theodoros (2021) Exoplanet validation with machine learning : 50 new validated Kepler planets. Monthly Notices of the Royal Astronomical Society, 504 (4). pp. 5327-5344. doi:10.1093/mnras/staa2498 ISSN 1745-3933.

Maronas, Juan, Hamelijnck, Oliver, Knoblauch, Jeremias and Damoulas, Theodoros (2021) Transforming Gaussian processes with normalizing flows. In: 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Virtual, 13-15 Apr 2021. Published in: Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, 130 pp. 1081-1089. ISSN 2640-3498.

Lemercier, Maud, Salvi, Cristopher, Damoulas, Theodoros, Bonilla, Edwin V. and Lyons, Terry (2021) Distribution regression for sequential data. In: The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Virtual, 13-15 Apr 2021. Published in: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130 pp. 3754-3762. ISSN 2640-3498.

Aglietti, Virginia, Dhir, N., Gonzalez, J. and Damoulas, Theodoros (2021) Dynamic causal Bayesian optimisation. In: Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021. Published in: Advances in Neural Information Processing Systems, 34 pp. 10549-10560.

Salvi, Cristopher, Lemercier, Maud, Liu, Chong, Horvath, Blanka, Damoulas, Theodoros and Lyons, Terry (2021) Higher order kernel mean embeddings to capture filtrations of stochastic processes. In: Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021. Published in: Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 34 pp. 16635-16647.

Akyildiz, Ömer Deniz, van den Burg, Gerrit J. J., Damoulas, Theodoros and Steel, Mark F. J. (2021) Probabilistic sequential matrix factorization. In: The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Virtual, 13-15 Apr 2021. Published in: Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, 130 pp. 3484-3492. ISSN 2640-3498.

Lemercier, Maud, Salvi, Cristopher, Cass, Thomas, Bonilla, Edwin V., Damoulas, Theodoros and Lyons, Terry (2021) SigGPDE : scaling sparse Gaussian processes on sequential data. In: ICML : 2021 Thirty-eighth International Conference on Machine Learning, Virtual, 18-24 Jul 2021. Published in: Proceedings of the 38th International Conference on Machine Learning, 139 pp. 6233-6242. ISSN 2640-3498.

Hamelijnck, Oliver, Wilkinson, William J., Loppi, Niki A., Solin, Arno and Damoulas, Theodoros (2021) Spatio-temporal variational Gaussian processes. In: Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021. Published in: Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 34 pp. 23621-23633.

2020

Mckay, H., Griffiths, Nathan, Taylor, Phillip M., Damoulas, Theodoros and Xu, Zhou (2020) Bi-directional online transfer learning : a framework. Annals of Telecommunications, 75 . 523-547 . doi:10.1007/s12243-020-00776-1 ISSN 0003-4347.

Monterrubio-Gomez, Karla, Roininen, Lassi, Wade, Sara, Damoulas, Theodoros and Girolami, Mark (2020) Posterior inference for sparse hierarchical non-stationary models. Computational Statistics & Data Analysis, 148 . 106954. doi:10.1016/j.csda.2020.106954 ISSN 0167-9473.

Boustati, Ayman, Akyildiz, Omar Deniz, Damoulas, Theodoros and Johansen, Adam M. (2020) Generalised Bayesian filtering via sequential Monte Carlo. In: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual conference, 7-12 Dec 2020. Published in: Advances in Neural Information Processing Systems, 33 pp. 418-429.

Aglietti, Virginia, Damoulas, Theodoros, Alvarez, Mauricio and Gonzalez, Javier (2020) Multi-task causal learning with Gaussian processes. In: Thirty-fourth Conference on Neural Information Processing Systems, Virtual conference, 7-12 Dec 2020. Published in: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 33 pp. 6293-6304.

Wang, Kangrui, Hamelijnck, Oliver, Damoulas, Theodoros and Steel, Mark F. J. (2020) Non-separable non-stationary random fields. In: 37th International Conference on Machine Learning, ICML 2020, Remote, 13-18 Jul 2020. Published in: Proceedings of the 37th International Conference on Machine Learning, 119 pp. 9887-9897.

2019

Aglietti, Virginia, Bonilla, Edwin, Damoulas, Theodoros and Cripps, Sally (2019) Structured variational inference in continuous Cox Process Models. In: NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Canada, 8-14 Dec 2019. Published in: 33nd Conference on Neural Information Processing Systems (NeurIPS 2019) Vancouver, Canada, 8-14 December 2019, 32

Hamelijnck, Oliver, Damoulas, Theodoros, Wang, Kangrui and Girolami, Mark (2019) Multi-resolution multi-task Gaussian processes. In: 33rd Conference on Neural Information Processing Systems, Canada, 8-14 Dec 2019. Published in: 33nd Conference on Neural Information Processing Systems (NeurIPS 2019), 32 pp. 14048-14058.

Crosby, Henry James, Damoulas, Theodoros and Jarvis, Stephen A. (2019) Road and travel time cross-validation for urban modelling. International Journal of Geographical Information Science, 34 (1). pp. 98-118. doi:10.1080/13658816.2019.1658876 ISSN 1362-3087.

Mckay, H., Griffiths, Nathan, Taylor, Phillip M., Damoulas, Theodoros and Zhou, X. (2019) Online transfer learning for concept drifting data streams. In: 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, Anchorage, Alaska, 4-8 Aug 2019. Published in: Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications Conference, 2579

Aglietti, Virginia, Theodoros, Damoulas and Bonilla, Edwin (2019) Efficient inference in multi-task Cox process models. In: The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, Naha, Okinawa, Japan, 16-18 Apr 2019. Published in: Proceedings of Machine Learning Research, 89 pp. 537-546.

2018

Crosby, Henry James, Damoulas, Theodoros and Jarvis, Stephen A. (2018) Embedding road networks and travel time into distance metrics for urban modelling. International Journal of Geographical Information Science, 33 (3). pp. 512-536. doi:10.1080/13658816.2018.1547386 ISSN 1365-8816.

Knoblauch, Jeremias, Jewson, Jack E. and Damoulas, Theodoros (2018) Doubly robust Bayesian inference for non-stationary streaming data with β-divergences. In: Thirty-second Conference on Neural Information Processing Systems, Montréal, Canada, 3-8 Dec 2018. Published in: Advances in Neural Information Processing Systems, 31 pp. 64-75. doi:10.5555/3326943.3326950

Crosby, Henry James, Damoulas, Theodoros, Caton, Alexander, Davis, Paul, Albuquerque, João Porto de and Jarvis, Stephen A. (2018) Road distance and travel time for an improved house price Kriging predictor. Geo-spatial Information Science, 21 (3). pp. 185-194. doi:10.1080/10095020.2018.1503775 ISSN 1009-5020.

Chuah, Edward, Jhumka, Arshad, Alt, Samantha, Damoulas, Theodoros, Gurumdimma, Nentawe, Sawley, Marie-Christine, Barth, William L., Minyard, Tommy and Browne, James C. (2018) Enabling dependability-driven resource use and message log-analysis for cluster system diagnosis. In: 24th IEEE International Conference on High Performance Computing, Data, and Analytics, Jaipur, India, 18-21 Dec 2017. Published in: 2017 IEEE 24th International Conference on High Performance Computing (HiPC) ISBN 9781538622940. doi:10.1109/HiPC.2017.00044

Knoblauch, Jeremias and Damoulas, Theodoros (2018) Spatio-temporal Bayesian on-line changepoint detection with model selection. In: 35th International Conference on Machine Learning 2018, Stockholm, Sweden, 10-15 Jul 2018. Published in: Proceedings of the 35th International Conference on Machine Learning 2018, 80 pp. 2718-2727.

2017

Chuah, Edward, Jhumka, Arshad, Alt, Samantha, Damoulas, Theodoros, Gurumdimma, Nentawe, Sawley, Marie-Christine, Barth, William L., Minyard, Tommy and Browne, James C. (2017) Case study of error recovery and error propagation on ranger. In: 24th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2017), Jaipur, India, 18-21 Dec 2017 (Unpublished)

2016

Tsakalidis, Adam, Liakata, Maria, Damoulas, Theodoros, Jellinek, Brigitte , Guo, Weisi and Cristea, Alexandra I. (2016) Combining heterogeneous user generated data to sense well-being. In: COLING 2016, Osaka, Japan, 11-16 Dec 2016 ISBN 9784879747020.

Crosby, Henry James, Davis, Paul, Damoulas, Theodoros and Jarvis, Stephen A. (2016) A spatio-temporal, Gaussian Process Regression, real-estate price predictor. In: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), San Francisco, 31 Oct - 3 Nov 2016. Published in: GIS '16 Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems p. 68. ISBN 9781450345897 .

Chirigati, F., Doraiswamy, H., Damoulas, T. and Freire, J. (2016) Data polygamy : the many-many relationships among urban spatio-temporal data sets. In: ACM SIGMOD International Conference on Management of Data (SIGMOD 2016), San Francisco, 26 Jun - 01 Jul 2016. Published in: SIGMOD '16 Proceedings of the 2016 International Conference on Management of Data pp. 1011-1025. ISBN 9781450335317. doi:10.1145/2882903.2915245

2015

Ermon, Stefano, Xue, Yexiang, Toth, Russell, Dilkina, Bistra, Bernstein, Richard, Damoulas, Theodoros, Mude, Andrew G., Clark, Patrick, DeGloria, Steve, Barrett, Christopher and Gomes, Carla P. (2015) Learning large-scale dynamic discrete choice models of spatio-temporal preferences with application to migratory pastoralism in East Africa. In: 29th AAAI Conference on Artificial Intelligence, Austin, Texas, USA, 25–30 Jan 2015. Published in: AAAI'15 Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence pp. 644-650. ISBN 0262511290.

Chohlas-Wood, Alex , Merali, Aliya , Reed, Warren and Damoulas, Theodoros (2015) Mining 911 calls in New York City : temporal patterns, detection and forecasting. In: 29th AAAI Conference on Artificial Intelligence, (AAAI 2015), Austin, Texas USA , 25–26 Jan 2015 pp. 4-10.

2014

Doraiswamy, Harish, Ferreira, Nivan, Damoulas, Theodoros, Freire, Juliana and Silva, Claudio T. (2014) Using topological analysis to support event-guided exploration in urban data. IEEE Transactions on Visualization and Computer Graphics, 20 (12). pp. 2634-2643. doi:10.1109/TVCG.2014.2346449 ISSN 1077-2626.

(2014) The eBird enterprise : an integrated approach to development and application of citizen science. Biological Conservation, 169 . pp. 31-40. doi:10.1016/j.biocon.2013.11.003 ISSN 0006-3207.

Fink, Daniel, Damoulas, Theodoros, Bruns, Nicholas E., La Sorte, Frank A., Hochanchka, Wesley M., Gomes, Carla P. and Kelling, Steve (2014) Crowdsourcing meets ecology : hemisphere-wide spatiotemporal species distribution models. AI Magazine, 35 (2). pp. 19-30. doi:10.1609/aimag.v35i2.2533 ISSN 0738-4602.

Damoulas, Theodoros, He, Jin, Bernstein, Richard, Gomes, Carla P. and Arora, Anish (2014) String kernels for complex time-series : counting targets from sensed movement. In: 22nd International Conference on Pattern Recognition (ICPR), 2014 , Stockholm, 24-28 Aug 2014. Published in: 22nd International Conference on Pattern Recognition (ICPR), 2014 pp. 4429-4434. doi:10.1109/ICPR.2014.758